"Helping you manage the data on which your organization runs."

www.widama.us

Enterprise Business Intelligence Solutions

When:      Thursday April 12, 2007

Time:        8:45 Check In
                 9:00 - 12:00 Meeting

Where:     LaQuinta Inn & Suites (formerly Woodfield Suites)
                 5217 Terrace Dr.
                 Madison, WI 53704
                 (608) 245-0123

                 Click here for map.

Speaker:  John Faulkenberry, Managing Partner EWSolutions

Mr. Faulkenberry has over 20 years of experience in Information Technology and has focused on data warehousing / business intelligence, meta data management, and enterprise information management for more than 15 years. Prior to joining EWSolutions, he worked for major technology vendors and consulting firms, provided thought leadership, and built consulting practices to deliver complex solutions to Global 1000 and large U.S. Government clients.

Mr. Faulkenberry joined EWSolutions in 2001. He has consulted on numerous engagements and is responsible for business development. His industry expertise includes Insurance & Financial, Transportation & Logistics, Defense / Intelligence, Life Sciences, and Public Sector.

Topic:       Enterprise Business Intelligence Solutions

Implementing business intelligence (BI) solutions to address business problems can be a fairly straightforward effort these days. Thousands of data warehouses, data marts, and analytical solutions have been built during the past 15 to 20 years. Most of these solutions have provided value to the business. However, many are no longer in-use and many others have been or need to be re-architected.      

In addition to providing an overview of business intelligence concepts, technology, and techniques; this presentation will discuss best practices for building a successful and sustainable business intelligence environment for the enterprise. This will include review and discussion of key issues to consider when implementing a sustainable enterprise business intelligence environment (e.g., business intelligence architecture, enterprise data architecture, data quality, metadata management, data security, and data governance).